december, 2019
03dec6:30 pm8:30 pmUsing Artificial Intelligence to Simulate the Dead - by Muhammad Aurangzeb
Event Details
Using Artificial Intelligence to Simulate the Deceased In the last few years, advances in Artificial Intelligence (AI) have allowed researchers to generate music, art, and even novels. This art can imitate
Event Details
Using Artificial Intelligence to Simulate the Deceased
In this talk, UWT Affiliate Assistant Professor Muhammad Aurangzeb Ahmad describes his own work with these AI technologies – specifically, his quest to create a simulation of his deceased father that can interact with Ahmad’s daughters, who were born after their grandfather passed away.
The talk will delve into the moral, ethical and legal implications of AI technologies. What does it mean for identity if we can simulate a person’s personality? Does it lighten the weight of death if we can interact with a simulation after a person has died? Can we ban people from creating digital simulations of ourselves?
Redmond Community CenterRedmond Community Center at Marymoor Village 6505 176th Avenue Northeast Redmond, WA 98052 United States
Time
(Tuesday) 6:30 pm - 8:30 pm PDT
Location
Redmond Community Center
Redmond Community Center at Marymoor Village 6505 176th Avenue Northeast Redmond, WA 98052 United States
Organizer
OPEN Seattle
Speakers for this event
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Muhammad Aurangzeb Ahmad
Muhammad Aurangzeb Ahmad
Affiliate Associate Professor, University of Washington Tacoma
Muhammad Aurangzeb Ahmad is the Affiliate Assistant Professor in the Department of Computer Science at the University of Washington and the Principal Research Data Scientist at KenSci, an Artificial Intelligence in a healthcare-focused company in Seattle. He has had academic appointments at the University of Washington, Center for Cognitive Science at the University of Minnesota, Minnesota Population Center and the Indian Institute of Technology at Kanpur. Muhammad Aurangzeb has published over 50 research papers in the field of machine learning and artificial intelligence and computational social science. Present work involves modelling deterioration of pediatric populations in ICU, accountability of AI systems and personality emulation. Past work includes modelling human behaviour in video games, predicting adverse events in patients with implantable cardioverter-defibrillator, analysis of criminal networks etc. On a broader level, he is interested in the use of artificial intelligence and machine learning to solve high impact problems and improve the human condition. He is also the advisor on AI and machine learning policy to the Ministry of Science and Technology of Maldives.
Affiliate Associate Professor, University of Washington Tacoma